𝒜. 𝓃𝑜𝒸𝓉𝓊𝒶 — CS2 Stats

US76561197991322545[U:1:31056817]Steam profile ↗✓ No bans

4,426Tracked matches71%Win rate2023Tracked since

4,667Hours in CS25Hrs last 2 wks

CSDB Rating6.0 SolidSupport

Premier CS Rating24,999Top 25% of 205,416 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#22147 of 252675 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+28Premier CS Rating · 24,971 → 24,999

Rating over time

Premier CS Rating: 24,999 +3,797 28 Aug – 17 Oct · 30 days played

24,999Peak Premier in tracked matches

30Days played since 2026-08-28

Premier CS Rating

At peak — 24,999
+3,224 over 30 days · improving
Next: Red band at 25,000 — 1 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	75	—	—
Win rate	57%	—	—
K/D	0.87	—	—
Headshot %	51%	—	—

Measured 21 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	Red band median	vs Red band
Headshot rate	46.1%	46.9%	49.3%	3.2% short
Shot accuracy	6.9%	13.0%	13.4%	6.5% short
Kill/death ratio	0.92	1.08	1.12	0.20 short
Match win rate	44.4%	46.7%	48.5%	4.1% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim66

Positioning44

Utility62

0–100 skill scores via Leetify.

Recent form

HOT59–37–4Last 10059%Win rateWWLWWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +2.3pp headshot accuracy · −92ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 557ms

Last 10

8–2 · 80% win rate
Avg rating -0.00
Avg headshot accuracy 20%
Avg reaction 562ms

Last 20

13–6–1 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 608ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim6.6

Utility6.2

Positioning4.4

Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.6

Positioning4.4

Utility6.2

Mechanics7.5

Opening Duels0.0

Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time597ms+13ms

first ⅓ avg 584ms → last ⅓ avg 597ms

Headshot accuracy18.2%−0.4%

first ⅓ avg 18.6% → last ⅓ avg 18.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 13–3 · cache, 13 Oct →

37%Best headshot accuracy · 11–13 · cache, 26 Sept →

438msFastest reaction time · 2–9 · inferno, 22 Sept →

13–0Biggest win · mirage, 21 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 72% over 18cacheWeakest map · 50% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	18	11–7	61%	0.00
nuke	S	18	13–5	72%	-0.02
cache	B	16	8–8	50%	-0.01
dust2	A	16	10–6	63%	-0.01
mirage	A	15	9–6	60%	-0.02
anubis	B	8	4–4	50%	0.01
ancient	B	8	4–4	50%	-0.00
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Lifetime stats

105,369Lifetime kills

0.92K/D

6,903Matches

44.4%Match win rate

46.1%Headshot %

6.9%Shot accuracy

11,609MVPs

3,043Hours (in match)

13,299Bombs planted

2,276Bombs defused

Most-used weapons

AK-4731,522

M4A4 / M4A1-S23,477

P2000 / USP-S7,012

Glock-186,269

AWP4,888

MP94,736

Galil AR4,326

MAC-103,390

Five-SeveN3,271

Desert Eagle2,934

Lifetime map wins

13,632dust2

11,563inferno

7,197nuke

2,917vertigo

1,531office

1,483train

206cbble

111dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy

33.0%Accuracy (enemy spotted)

33.7%Spray accuracy

83.9%Counter-strafing

10.5°Preaim

598msReaction time

27.6%T opening success

30.0%CT opening success

0.60Enemies flashed / flash

5.4%Flash assists

10.89HE damage / grenade

20.07Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.5915% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.02	24%	17 Oct →
nuke	13–5	-0.03	16%	17 Oct →
anubis	6–13	-0.02	6%	17 Oct →
inferno	13–10	0.03	26%	16 Oct →
cache	13–6	0.03	24%	16 Oct →
nuke	13–6	-0.06	18%	15 Oct →
cache	13–5	-0.03	20%	15 Oct →
inferno	11–13	-0.02	25%	15 Oct →
anubis	13–11	0.03	18%	14 Oct →
inferno	13–7	0.01	26%	14 Oct →
dust2	5–13	-0.05	19%	14 Oct →
dust2	16–14	-0.04	18%	13 Oct →
cache	13–3	0.11	21%	13 Oct →
cache	13–10	-0.04	19%	13 Oct →
mirage	13–8	-0.05	16%	12 Oct →
dust2	13–8	-0.01	16%	12 Oct →
mirage	9–13	-0.00	15%	12 Oct →
cache	4–13	-0.05	11%	11 Oct →
cache	10–13	0.01	21%	11 Oct →
dust2	12–12	0.00	25%	11 Oct →
mirage	12–12	0.02	15%	11 Oct →
mirage	13–9	-0.05	12%	10 Oct →
mirage	13–10	-0.00	21%	10 Oct →
dust2	16–14	0.02	18%	10 Oct →
ancient	16–14	-0.05	29%	9 Oct →
nuke	13–7	0.01	17%	8 Oct →
nuke	7–13	-0.08	13%	8 Oct →
anubis	11–13	0.06	20%	8 Oct →
mirage	13–8	-0.00	13%	8 Oct →
ancient	13–7	-0.06	17%	8 Oct →
mirage	13–7	0.04	20%	7 Oct →
anubis	13–5	0.07	17%	7 Oct →
nuke	7–13	0.01	5%	7 Oct →
cache	7–13	-0.07	5%	3 Oct →
inferno	10–13	-0.03	11%	30 Sept →
inferno	14–16	-0.02	18%	30 Sept →
inferno	11–13	-0.02	11%	30 Sept →
nuke	13–8	0.02	21%	29 Sept →
anubis	13–3	0.08	22%	29 Sept →
inferno	13–5	0.06	24%	29 Sept →
nuke	13–8	0.01	21%	29 Sept →
nuke	4–13	-0.08	21%	29 Sept →
mirage	9–13	-0.06	13%	28 Sept →
dust2	13–8	0.06	16%	28 Sept →
dust2	13–5	0.03	13%	28 Sept →
mirage	13–16	-0.06	18%	28 Sept →
nuke	7–13	-0.07	14%	28 Sept →
dust2	13–9	-0.02	18%	28 Sept →
mirage	13–9	-0.01	16%	27 Sept →
anubis	5–13	-0.07	8%	27 Sept →
dust2	13–8	0.02	20%	27 Sept →
ancient	9–13	0.02	15%	26 Sept →
anubis	9–13	-0.03	24%	26 Sept →
cache	11–13	-0.06	37%	26 Sept →
ancient	13–5	-0.00	14%	26 Sept →
cache	9–13	-0.03	13%	26 Sept →
inferno	13–11	0.04	29%	26 Sept →
vertigo	12–12	0.01	17%	26 Sept →
cache	13–5	-0.01	27%	25 Sept →
ancient	12–12	0.07	8%	24 Sept →
dust2	9–13	-0.04	13%	24 Sept →
anubis	13–8	0.01	12%	24 Sept →
dust2	5–13	-0.08	19%	24 Sept →
inferno	13–10	-0.02	10%	24 Sept →
nuke	13–11	-0.01	16%	24 Sept →
inferno	13–6	0.09	29%	23 Sept →
nuke	13–4	-0.02	29%	23 Sept →
inferno	13–10	-0.05	23%	23 Sept →
ancient	10–13	-0.03	18%	22 Sept →
inferno	2–9	-0.09	23%	22 Sept →
dust2	2–13	-0.09	33%	22 Sept →
mirage	13–0	-0.02	20%	21 Sept →
mirage	13–10	0.00	10%	21 Sept →
ancient	13–5	0.03	17%	21 Sept →
dust2	13–9	-0.03	19%	20 Sept →
nuke	6–13	-0.02	10%	20 Sept →
cache	13–16	-0.05	12%	20 Sept →
inferno	16–14	-0.05	23%	20 Sept →
nuke	13–10	-0.01	22%	18 Sept →
cache	13–16	-0.02	22%	18 Sept →
nuke	13–4	0.01	22%	18 Sept →
mirage	9–13	-0.09	15%	17 Sept →
cache	13–3	0.07	17%	17 Sept →
dust2	13–10	0.06	24%	17 Sept →
nuke	13–8	0.02	8%	16 Sept →
nuke	13–7	-0.01	13%	16 Sept →
mirage	7–13	-0.04	22%	16 Sept →
inferno	6–13	0.03	29%	16 Sept →
dust2	14–16	-0.04	18%	16 Sept →
mirage	13–4	0.00	16%	15 Sept →
inferno	13–5	0.03	12%	15 Sept →
dust2	16–14	-0.02	21%	11 Sept →
ancient	6–13	0.01	12%	11 Sept →
cache	13–16	-0.01	22%	11 Sept →
inferno	9–0	0.03	28%	11 Sept →
nuke	13–11	0.03	10%	10 Sept →
inferno	8–13	-0.02	18%	10 Sept →
nuke	16–13	-0.01	15%	10 Sept →
cache	13–8	0.01	26%	9 Sept →
cache	13–4	-0.04	14%	9 Sept →